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Replicate Jobs in Minnesota (NOW HIRING)

Our ranges are designed to replicate complex, contested, and dynamic environments-giving innovators, researchers, and defense partners the ability to validate, stress-test, and mature their systems ...

Leveraging combined R&D and operational scale each of our divisions benefit from one another in ways our competitors can't replicate. This role is anchored in our GN Hearing division, the world ...

We built something no one else in the market can replicate: AI-enabled enterprise technology backed by the deepest operational expertise in the HCM industry. Our platform is purpose-built for how ...

Leveraging combined R&D and operational scale each of our divisions benefit from one another in ways our competitors can't replicate. This role is anchored in our GN Hearing division, the world ...

Lead Engineer - Red Team

Minneapolis, MN · On-site

$132K - $238K/yr

Ability to replicate the tools and techniques of in-the-wild threat actors * Follows Threat Actor trends impacting organizational security This position may be considered for a Remote or Hybrid ...

We built something no one else in the market can replicate: AI-enabled enterprise technology backed by the deepest operational expertise in the HCM industry. Our platform is purpose-built for how ...

We built something no one else in the market can replicate: AI-enabled enterprise technology backed by the deepest operational expertise in the HCM industry. Our platform is purpose-built for how ...

Sr. Data Engineer

Minneapolis, MN · Remote

$110K - $150K/yr

Experience with data replication tools (Kafka, GoldenGate, HVR, Qlik Replicate or similar) * Deep understanding of Kimball dimensional modeling: star schemas, slowly changing dimensions, snapshot and ...

We built something no one else in the market can replicate: AI-enabled enterprise technology backed by the deepest operational expertise in the HCM industry. Our platform is purpose-built for how ...

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Replicate information

What are Replicate jobs?

Replicate jobs refer to roles involved with the Replicate platform, which is a service that allows developers and businesses to run machine learning models in the cloud. These jobs typically focus on deploying, managing, and scaling AI models, as well as integrating them into various applications. Professionals in these roles may work on building APIs for ML models, optimizing model performance, and ensuring reliable, scalable infrastructure. Replicate jobs are sought after by organizations looking to leverage machine learning capabilities without managing their own hardware or deep ML infrastructure.

What are the key skills and qualifications needed to thrive as a Replicate Machine Learning Engineer, and why are they important?

To thrive as a Replicate Machine Learning Engineer, you need a deep understanding of machine learning concepts, proficiency in Python, and experience with deploying models, often backed by a degree in computer science or a related field. Familiarity with tools like Docker, cloud platforms, version control (Git), and model serving frameworks is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively with both technical and non-technical stakeholders. These skills enable the efficient development, deployment, and scaling of machine learning models to meet user and business needs.

What are some common challenges faced by professionals working in machine learning model replication roles, and how can they be addressed?

Professionals tasked with replicating machine learning models often face challenges such as incomplete documentation, discrepancies in data preprocessing, and differences in software environments. These issues can lead to results that are difficult to reproduce or validate. To address these challenges, it's important to communicate closely with original model developers, use containerization tools like Docker to standardize environments, and meticulously document each step of the replication process. Collaboration with cross-functional teams, including data engineers and researchers, also helps ensure a smoother replication workflow.
What are popular job titles related to Replicate jobs in Minnesota? For Replicate jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Replicate jobs in Minnesota look for? The top searched job categories for Replicate jobs in Minnesota are:
What cities in Minnesota are hiring for Replicate jobs? Cities in Minnesota with the most Replicate job openings:
Field Service Specialist

Field Service Specialist

Anno.ai

Duluth, MN • On-site, Remote

Full-time

Retirement, PTO

Posted 26 days ago


Job description

What We Do at Anno.ai
Anno.ai is a mission-focused defense technology startup dedicated to accelerating the safe and effective development of next-generation autonomous systems. We specialize in building and operating advanced test ranges for low Technology Readiness Level (TRL) single- or dual- use autonomous platforms, providing a critical bridge between early-stage innovation and real-world mission requirements.
Our ranges are designed to replicate complex, contested, and dynamic environments-giving innovators, researchers, and defense partners the ability to validate, stress-test, and mature their systems with speed and rigor. By combining deep technical expertise with a strong national security ethos, Anno.ai ensures that emerging autonomous technologies are tested not only for performance, but for resilience, adaptability, and operational relevance.
Anno.ai is a growing company with a team drawn from diverse professional backgrounds, bringing together expertise in defense, technology, engineering, and operations. We intentionally build our teams on the foundation of trust. Our values including the trust rule, ownership, bias for action, never stop learning, and sustainable excellence, not only guide how we work internally, but also how we partner with customers and stakeholders.
At Anno.ai, we believe that mission success depends on empowering innovation at the edge. We exist to help our partners move faster, fail smarter, and ultimately deliver autonomous capabilities that safeguard both national security and the future of global stability.
Disclaimer: Due to the sensitive nature of our engineering work, Anno.ai enforces strict digital footprint and identity verification. We actively monitor for synthetic profiles, proxy networks, and AI interview assistants; any fraudulent activity will result in immediate disqualification.
Position Overview
As a Field Service Specialist at Anno.Ai's Lake Superior Test Range, you will support the deployment, fielding, and maintenance of sensors, systems, and tools. You would work directly with engineering, product, and customer support teams to deliver the highest quality products and services. Annomals are practical, mission-driven, and fun. We value good management, your career growth, and ethical, responsible practices.
For this opportunity we are looking for individuals who have experience deploying and troubleshooting equipment. The ability to think on your feet and good communication skills are essential. We are looking for someone who has a learning mindset and loves to tinker.
The ideal candidate for this role would reside in Duluth, Minnesota.
Candidates need to be able to obtain and maintain U.S. Government security clearance (U.S. citizenship required).
Candidates must be able to travel up to 20% of the time.
What You Will Do
  • Conduct system integration, field deployment, testing, and support of products and services
  • Support test range air and maritime operations
  • Provide repair, calibration, and maintenance services
  • Perform sensor data collection in support of product development
  • Troubleshoot repair, and calibrate of systems in the field
  • Improve products based on field experience

Required Qualifications
  • Associate's or bachelor's degree in information systems, Systems Engineering, Electrical Engineering, Mechanical Engineering, or a related technical field preferred.
  • 5+ years of relative experience
  • Familiarity with Windows and Linux environments for system setup, troubleshooting, and diagnostics
  • Hands-on experience with electronic systems, wiring, connectors, and test equipment.
  • Ability to read and follow technical documentation, schematics, and standard operating procedures
  • Experience using basic diagnostic tools and troubleshooting methods in field or lab environments
  • Strong mechanical aptitude and comfort assembling, modifying, and repairing hardware systems
  • Technical knowledge of sensor systems and unmanned vehicles
  • Experience planning and executing prototype testing and validation
  • Valid driver's license and ability to safely operate company or field vehicles, if required.
  • Ability to work outdoors in austere environments and lift or move equipment safely
  • Ability to obtain and maintain a U.S. Government security clearance (U.S. citizenship required)
  • Ability to travel up to 20%

Preferred Qualifications
  • Prior experience supporting U.S. Department of Defense programs, defense systems, or mission-critical platforms
  • Maritime experience is a plus
  • Experience fielding equipment in a variety of environments, including marine, coastal, desert, and urban settings
  • Experience with additive manufacturing, including 3D printing for prototyping or field-expedient repairs
  • Experience with small unmanned aerial systems (UAS) (e.g., DJI, FPV), unmanned underwater vehicles (UUV), uncrewed surface vessels (USV)

Total Rewards Package for Our US Employees
  • Competitive salary
  • Equity
  • Comprehensive benefits package
  • 401k with a 5% company match
  • Paid holidays and generous paid time off offering
  • Paid leave programs
  • Patent bonus program
  • Employee referral bonus program
  • Learning and development program
  • Opportunity to work with a team of highly skilled, creative and motivated team members

Quick Note on Role Fit
If you think you have what it takes to fulfill this opportunity, but don't necessarily check every box, please still connect with us at talent@anno.ai. Feel free to send a cover letter so we can get to know you better!